Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes
Absorption aerosol optical depth (AAOD) as obtained from sun–sky photometer measurements provides a measure of the light-absorbing properties of the columnar aerosol loading. However, it is not an unambiguous aerosol-type-specific parameter, particularly if several types of absorbing aerosols, for i...
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ftdoajarticles:oai:doaj.org/article:3915f875193f467cb1d7cde0cc0ba4b0 2023-05-15T13:06:29+02:00 Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes S.-K. Shin M. Tesche D. Müller Y. Noh 2019-01-01T00:00:00Z https://doi.org/10.5194/amt-12-607-2019 https://doaj.org/article/3915f875193f467cb1d7cde0cc0ba4b0 EN eng Copernicus Publications https://www.atmos-meas-tech.net/12/607/2019/amt-12-607-2019.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-12-607-2019 1867-1381 1867-8548 https://doaj.org/article/3915f875193f467cb1d7cde0cc0ba4b0 Atmospheric Measurement Techniques, Vol 12, Pp 607-618 (2019) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2019 ftdoajarticles https://doi.org/10.5194/amt-12-607-2019 2022-12-31T11:44:49Z Absorption aerosol optical depth (AAOD) as obtained from sun–sky photometer measurements provides a measure of the light-absorbing properties of the columnar aerosol loading. However, it is not an unambiguous aerosol-type-specific parameter, particularly if several types of absorbing aerosols, for instance black carbon (BC) and mineral dust, are present in a mixed aerosol plume. The contribution of mineral dust to total aerosol light absorption is particularly important at UV wavelengths. In this study we refine a lidar-based technique applied to the separation of dust and non-dust aerosol types for the use with Aerosol Robotic Network (AERONET) direct sun and inversion products. We extend the methodology to retrieve AAOD related to non-dust aerosol (AAOD nd ) and BC (AAOD BC ). We test the method at selected AERONET sites that are frequently affected by aerosol plumes that contain a mixture of Saharan or Asian mineral dust and biomass-burning smoke or anthropogenic pollution, respectively. We find that aerosol optical depth (AOD) related to mineral dust as obtained with our methodology is frequently smaller than coarse-mode AOD. This suggests that the latter is not an ideal proxy for estimating the contribution of mineral dust to mixed dust plumes. We present the results of the AAOD BC retrieval for the selected AERONET sites and compare them to coincident values provided in the Copernicus Atmosphere Monitoring System aerosol reanalysis. We find that modelled and AERONET AAOD BC are most consistent for Asian sites or at Saharan sites with strong local anthropogenic sources. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 12 1 607 618 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
spellingShingle |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 S.-K. Shin M. Tesche D. Müller Y. Noh Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
topic_facet |
Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
description |
Absorption aerosol optical depth (AAOD) as obtained from sun–sky photometer measurements provides a measure of the light-absorbing properties of the columnar aerosol loading. However, it is not an unambiguous aerosol-type-specific parameter, particularly if several types of absorbing aerosols, for instance black carbon (BC) and mineral dust, are present in a mixed aerosol plume. The contribution of mineral dust to total aerosol light absorption is particularly important at UV wavelengths. In this study we refine a lidar-based technique applied to the separation of dust and non-dust aerosol types for the use with Aerosol Robotic Network (AERONET) direct sun and inversion products. We extend the methodology to retrieve AAOD related to non-dust aerosol (AAOD nd ) and BC (AAOD BC ). We test the method at selected AERONET sites that are frequently affected by aerosol plumes that contain a mixture of Saharan or Asian mineral dust and biomass-burning smoke or anthropogenic pollution, respectively. We find that aerosol optical depth (AOD) related to mineral dust as obtained with our methodology is frequently smaller than coarse-mode AOD. This suggests that the latter is not an ideal proxy for estimating the contribution of mineral dust to mixed dust plumes. We present the results of the AAOD BC retrieval for the selected AERONET sites and compare them to coincident values provided in the Copernicus Atmosphere Monitoring System aerosol reanalysis. We find that modelled and AERONET AAOD BC are most consistent for Asian sites or at Saharan sites with strong local anthropogenic sources. |
format |
Article in Journal/Newspaper |
author |
S.-K. Shin M. Tesche D. Müller Y. Noh |
author_facet |
S.-K. Shin M. Tesche D. Müller Y. Noh |
author_sort |
S.-K. Shin |
title |
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
title_short |
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
title_full |
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
title_fullStr |
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
title_full_unstemmed |
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes |
title_sort |
technical note: absorption aerosol optical depth components from aeronet observations of mixed dust plumes |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/amt-12-607-2019 https://doaj.org/article/3915f875193f467cb1d7cde0cc0ba4b0 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric Measurement Techniques, Vol 12, Pp 607-618 (2019) |
op_relation |
https://www.atmos-meas-tech.net/12/607/2019/amt-12-607-2019.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-12-607-2019 1867-1381 1867-8548 https://doaj.org/article/3915f875193f467cb1d7cde0cc0ba4b0 |
op_doi |
https://doi.org/10.5194/amt-12-607-2019 |
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Atmospheric Measurement Techniques |
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